Integration error detection and correction system

Abstract

Methods, systems, and computer program products for detecting and correcting integration issues and errors between different computer systems are disclosed. For example, a computer-implemented method may include collecting transaction data for each one of a plurality of respective merchants where the transaction data is associated with service integration between computer systems associated with the respective merchants and one or more service provider computer systems, analyzing the transaction data across a plurality of respective issue detection models, generating for each one of the plurality of merchants action data corresponding to one or more of the respective issue detection models based on the analyzing, and providing each one of the plurality of merchants with the respective generated action data.

What is claimed is: 
     
         1 . A computer system, comprising:
 a non-transitory memory storing instructions; and   one or more hardware processors coupled to the non-transitory memory and configured to read the instructions from the non-transitory memory to cause the computer system to perform operations comprising:   in response to the receipt of transactional data generated from a plurality of applications, analyzing the transaction data using one or more suppression rules;   filtering detected issues in the transactional data based on the one or more suppression rules;   identifying corrections for the issues detected; and   transmitting a notification with details regarding errors detected and the corrections identified.   
     
     
         2 . The computer system of  claim 1 , wherein the corrections identified include one of a code fixes and corrections on the transactional data. 
     
     
         3 . The computer system of  claim 1 , wherein the operations further comprise:
 running an integration issue detection manager used to filter and calibrate detected integration issues.   
     
     
         4 . The computer system of  claim 3 , wherein the integration issues are based on one or more relevant factors. 
     
     
         5 . The computer system of  claim 1 , wherein the corrections are identified based on search of source code repositories. 
     
     
         6 . The computer system of  claim 1 , wherein the one or more suppression rules include issue detection models designed to reduce and detect false positive results. 
     
     
         7 . The computer system of  claim 1 , wherein the error detect includes an application programming interface (API) issue between a merchant and a service provider. 
     
     
         8 . A method comprising:
 in response to the receipt of transactional data generated from a plurality of applications, analyzing the transaction data using one or more suppression rules;   filtering detected issues in the transactional data based on the one or more suppression rules;   identifying corrections for the issues detected; and   transmitting a notification with details regarding errors detected and the corrections identified.   
     
     
         9 . The method of  claim 8 , wherein the corrections identified include one of a code fixes and corrections on the transactional data. 
     
     
         10 . The method of  claim 8 , further comprising:
 running an integration issue detection manager used to filter and calibrate detected integration issues.   
     
     
         11 . The method of  claim 10 , wherein the integration issues are based on one or more relevant factors. 
     
     
         12 . The method of  claim 8 , wherein the corrections are identified based on search of source code repositories. 
     
     
         13 . The method of  claim 8 , wherein the one or more suppression rules include issue detection models designed to reduce and detect false positive results. 
     
     
         14 . The method of  claim 8 , wherein the error detect includes an application programming interface (API) issue between a merchant and a service provider. 
     
     
         15 . A non-transitory machine-readable medium having stored thereon machine-readable instructions executable to cause a machine to perform operations comprising:
 in response to the receipt of transactional data generated from a plurality of applications, analyzing the transaction data using one or more suppression rules;   filtering detected issues in the transactional data based on the one or more suppression rules;   identifying corrections for the issues detected; and   transmitting a notification with details regarding errors detected and the corrections identified.   
     
     
         16 . The non-transitory machine-readable medium of  claim 15 , wherein the corrections identified include one of a code fixes and corrections on the transactional data. 
     
     
         17 . The non-transitory machine-readable medium of  claim 15 , wherein the operations further comprise:
 running an integration issue detection manager used to filter and calibrate detected integration issues.   
     
     
         18 . The non-transitory machine-readable medium of  claim 17 , wherein the integration issues are based on one or more relevant factors. 
     
     
         19 . The non-transitory machine-readable medium of  claim 15 , wherein the corrections are identified based on search of source code repositories. 
     
     
         20 . The non-transitory machine-readable medium of  claim 15 , wherein the one or more suppression rules include issue detection models designed to reduce and detect false positive results.